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Approximate Reasoning in Surgical Decisions
Ansvarlig organisasjon
2009 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

Approximate reasoning is one of the most effective fuzzy systems. The compositional rule of inference founded on the logical law modus ponens is furnished with a true conclusion, provided that the premises of the rule are true as well. Even though there exist different approaches to an implication, being the crucial part of the rule, we modify the early implication proposed by Zadeh in our practical model concerning a medical application. The approximate reasoning system presented in this work considers evaluation of a risk in the situation when physicians weigh necessity of the operation on a patient. The patient’s clinical symptom levels, pathologically heightened, indicate the presence of a disease possible to recover by surgery. We wish to evaluate the extension of the operation danger by involving particularly designed fuzzy sets in the algorithm of approximate reasoning.

sted, utgiver, år, opplag, sider
Lisbon: Instituto Superior Technico de Lisboa, Erasmus Universiteit in Rotterdam , 2009.
Emneord [en]
Approximate reasoning, compositional rule of inference, Zadeh’s implication, operation risk, symptom levels, parametric membership functions
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-8037ISI: 000279170600040Lokal ID: oai:bth.se:forskinfo63BAC7584643D068C12576010061B193ISBN: 978-989-95079-6-8 (tryckt)OAI: oai:DiVA.org:bth-8037DiVA, id: diva2:835721
Konferanse
International Fuzzy Systems Association World Congress 2009 - IFSA 2009
Tilgjengelig fra: 2012-09-18 Laget: 2009-07-28 Sist oppdatert: 2016-09-20bibliografisk kontrollert

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Rakus-Andersson, Elisabeth

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Totalt: 66 treff
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